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Genetic Analysis of Tropical Midaltitude- Adapted Maize Populations under Stress and Nonstress Conditions

Maize (Zea mays L.) yield in sub-Saharan Africa (SSA) is low because of both abiotic and biotic constraints, and limited availability or use of improved seed in some areas. This study was conducted (i) to estimate combining ability and heterosis among seven stress-tolerant populations, and (ii) to a...

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Autores principales: Makumbi, Dan, Assanga, Silvano, Diallo, Alpha, Magorokosho, Cosmos, Asea, Godfrey, Worku, Mosisa, Bänziger, Marianne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7680935/
https://www.ncbi.nlm.nih.gov/pubmed/33343010
http://dx.doi.org/10.2135/cropsci2017.09.0531
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author Makumbi, Dan
Assanga, Silvano
Diallo, Alpha
Magorokosho, Cosmos
Asea, Godfrey
Worku, Mosisa
Bänziger, Marianne
author_facet Makumbi, Dan
Assanga, Silvano
Diallo, Alpha
Magorokosho, Cosmos
Asea, Godfrey
Worku, Mosisa
Bänziger, Marianne
author_sort Makumbi, Dan
collection PubMed
description Maize (Zea mays L.) yield in sub-Saharan Africa (SSA) is low because of both abiotic and biotic constraints, and limited availability or use of improved seed in some areas. This study was conducted (i) to estimate combining ability and heterosis among seven stress-tolerant populations, and (ii) to assess diversity among the populations and the relationship between diversity and heterosis. Twenty-one hybrids developed from diallel crosses of seven populations, parents, and two checks were evaluated in 10 optimal and 11 stressed environments (drought, low N, and random stress) in Kenya, Ethiopia, Uganda, and Zimbabwe for 2 yr. Analysis II of Gardner and Eberhart showed that variety and heterosis were significant for grain yield (GY) under optimal and managed stress, and across environments. Heterosis accounted for most of the variation for GY among populations under optimal conditions (67%) and drought stress (53%), which suggested the importance of dominance in inheritance of GY under these conditions. Genetic distance (GD) among populations ranged from 0.328 to 0.477 (mean = 0.404). The correlation between GD and heterosis was low (r = 0.14–0.40) in all environments. The simple sequence repeat (SSR) marker-based and GY-based clustering of parental populations showed similar patterns, with three populations distinct from the rest, suggesting significant differentiation of allelic variation in these three populations. The SSR-based diversity and phenotypic analysis results should be useful in defining breeding strategies and maintaining heterotic patterns among these populations.
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spelling pubmed-76809352020-12-18 Genetic Analysis of Tropical Midaltitude- Adapted Maize Populations under Stress and Nonstress Conditions Makumbi, Dan Assanga, Silvano Diallo, Alpha Magorokosho, Cosmos Asea, Godfrey Worku, Mosisa Bänziger, Marianne Crop Sci Research Maize (Zea mays L.) yield in sub-Saharan Africa (SSA) is low because of both abiotic and biotic constraints, and limited availability or use of improved seed in some areas. This study was conducted (i) to estimate combining ability and heterosis among seven stress-tolerant populations, and (ii) to assess diversity among the populations and the relationship between diversity and heterosis. Twenty-one hybrids developed from diallel crosses of seven populations, parents, and two checks were evaluated in 10 optimal and 11 stressed environments (drought, low N, and random stress) in Kenya, Ethiopia, Uganda, and Zimbabwe for 2 yr. Analysis II of Gardner and Eberhart showed that variety and heterosis were significant for grain yield (GY) under optimal and managed stress, and across environments. Heterosis accounted for most of the variation for GY among populations under optimal conditions (67%) and drought stress (53%), which suggested the importance of dominance in inheritance of GY under these conditions. Genetic distance (GD) among populations ranged from 0.328 to 0.477 (mean = 0.404). The correlation between GD and heterosis was low (r = 0.14–0.40) in all environments. The simple sequence repeat (SSR) marker-based and GY-based clustering of parental populations showed similar patterns, with three populations distinct from the rest, suggesting significant differentiation of allelic variation in these three populations. The SSR-based diversity and phenotypic analysis results should be useful in defining breeding strategies and maintaining heterotic patterns among these populations. John Wiley & Sons, Inc. 2018-06-07 2018 /pmc/articles/PMC7680935/ /pubmed/33343010 http://dx.doi.org/10.2135/cropsci2017.09.0531 Text en © 2018 Crop Science Society of America http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See credit lines of images or other third party material in this article for license information.
spellingShingle Research
Makumbi, Dan
Assanga, Silvano
Diallo, Alpha
Magorokosho, Cosmos
Asea, Godfrey
Worku, Mosisa
Bänziger, Marianne
Genetic Analysis of Tropical Midaltitude- Adapted Maize Populations under Stress and Nonstress Conditions
title Genetic Analysis of Tropical Midaltitude- Adapted Maize Populations under Stress and Nonstress Conditions
title_full Genetic Analysis of Tropical Midaltitude- Adapted Maize Populations under Stress and Nonstress Conditions
title_fullStr Genetic Analysis of Tropical Midaltitude- Adapted Maize Populations under Stress and Nonstress Conditions
title_full_unstemmed Genetic Analysis of Tropical Midaltitude- Adapted Maize Populations under Stress and Nonstress Conditions
title_short Genetic Analysis of Tropical Midaltitude- Adapted Maize Populations under Stress and Nonstress Conditions
title_sort genetic analysis of tropical midaltitude- adapted maize populations under stress and nonstress conditions
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7680935/
https://www.ncbi.nlm.nih.gov/pubmed/33343010
http://dx.doi.org/10.2135/cropsci2017.09.0531
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